Deep Learning for Multimedia Processing Applications: Volume One: Image Security and Intelligent Systems for Multimedia Processing
暫譯: 多媒體處理應用的深度學習:第一卷:多媒體處理的影像安全與智慧系統

Bhatti, Uzair Aslam, Mengxing, Huang, Li, Jingbing

  • 出版商: CRC
  • 出版日期: 2024-02-21
  • 售價: $4,820
  • 貴賓價: 9.5$4,579
  • 語言: 英文
  • 頁數: 292
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103254824X
  • ISBN-13: 9781032548241
  • 相關分類: DeepLearning資訊安全
  • 海外代購書籍(需單獨結帳)

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商品描述

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing.

Divided into two volumes, Volume One begins by introducing the fundamental concepts of deep learning, providing readers with a solid foundation to understand its relevance in multimedia processing. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos.

Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts.

Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.

商品描述(中文翻譯)

《深度學習在多媒體處理應用中的應用》是一本全面的指南,探討深度學習技術在多媒體處理領域的革命性影響。這本書適合各類讀者,從學生到專業人士,提供了深度學習在各種多媒體領域應用的簡明且易於理解的概述,包括影像處理、視頻分析、音頻識別和自然語言處理。

本書分為兩卷,第一卷首先介紹深度學習的基本概念,為讀者提供堅實的基礎,以理解其在多媒體處理中的相關性。讀者將發現深度學習技術如何實現準確且高效的影像識別、物體檢測、語義分割和影像合成。本書還涵蓋視頻分析技術,包括動作識別、視頻標題生成和視頻生成,強調深度學習在從視頻中提取有意義信息方面的作用。

此外,本書探討了使用深度學習模型的音頻處理任務,如語音識別、音樂分類和聲音事件檢測。它展示了深度學習算法如何有效處理音頻數據,為多媒體應用開啟新的可能性。最後,本書探討了深度學習與自然語言處理技術的整合,使系統能夠理解、生成和解釋多媒體上下文中的文本信息。

在整本書中,提供了實用的範例、程式碼片段和真實案例研究,幫助讀者獲得實踐經驗,以實施深度學習解決方案於多媒體處理。《深度學習在多媒體處理應用中的應用》是任何有興趣利用深度學習的力量來釋放多媒體數據巨大潛力的人的必備資源。

作者簡介

Uzair Aslam Bhatti was born in 1986. He received his PhD degree in information and communication engineering, Hainan University, Haikou, Hainan, in 2019. He completed his postdoctoral from Nanjing Normal University, Nanjing, China, in implementing Clifford algebra algorithms in analysing the geospatial data using artificial intelligence (AI). He is currently working as an associate professor in the School of Information and Communication Engineering in Hainan University. His areas of specialty include AI, machine learning, and image processing. He is serving as guest editor of various journals including Frontier in Plant Science, Frontier in Environmental Science, Computer Materials and Continua, PLoS One, IEEE Access, etc., and has reviewed many IEEE Transactions and Elsevier journals.

Jingbing Li is a doctor, professor, doctoral supervisor, and the vice president of Hainan Provincial Invention Association. He has been awarded honorary titles of Leading Talents in Hainan Province, Famous Teaching Teachers in Hainan Province, Outstanding Young and Middle-aged Backbone Teachers in Hainan Province, and Excellent Teachers in Baosteel. He has also won the second prize of the Hainan Provincial Science and Technology Progress Award three times (the first completer twice, the second completer once). He has obtained 13 authorized national invention patents, published 5 monographs such as medical image digital watermarking, and published more than 80 SCI/EI retrieved academic papers (including 22 SCI retrieved papers) as the first author or corresponding author. He has presided over two projects of the National Natural Science Foundation of China, and five projects of Hainan Province's key research and development projects and Hainan Province's international scientific and technological cooperation projects.

Dr. Huang Mengxing is dean of the School of Information, at Hainan University. He has occupied many roles, such as the leader of the talent team of "Smart Service", the chief scientist of the National Key R&D Program, a member of the Expert Committee of Artificial Intelligence and Blockchain of the Science and Technology Committee of the Ministry of Education, the executive director of the Postgraduate Education Branch of the China Electronics Education Society, and the Computer Professional Teaching Committee of the Ministry of Education, among others. His main research areas include big data and intelligent information processing, multi-source information perception and fusion, artificial intelligence and intelligent services, etc. In recent years, he has published more than 230 academic papers as the first author and corresponding author, has obtained 36 invention patents authorized by the state, 96 software copyrights, published 4 monographs, and translated 2 books. He has won first prize and second prize in the Hainan Provincial Science and Technology Progress Award as the first person who completed it; and won two Hainan Provincial Excellent Teaching Achievement Awards and Excellent Teacher Awards. He has presided over and undertaken more than 30 national, provincial, and ministerial-level projects, such as national key research and development plan projects, national science and technology support plans, and National Natural Science Foundation projects.

Sibghat Ullah Bazai completed his undergraduate and graduate studies in computer engineering at the Balochistan University of Information Technology, Engineering, and Management Sciences (BUITEMS) in Quetta, Pakistan. He received his PhD (IT) in cybersecurity from Massey University in Auckland, New Zealand, in 2020. As part of his research, he is interested in applying cybersecurity, identifying diseases with deep learning, automating exams with natural language processing, developing local language sentiment data sets, and planning smart cities. Sibghat is a guest editor and reviewer for several journals' special issues in MDPI, Hindawi, CMC, PLoS One, Frontier, and others.

Muhammad Aamir received the bachelor of engineering degree in computer systems engineering from Mehran University of Engineering & Technology Jamshoro, Sindh, Pakistan, in 2008, the master of engineering degree in software engineering from Chongqing University, China, in 2014, and the PhD degree in computer science and technology from Sichuan University, Chengdu, China, in 2019. He is currently an associate professor at the Department of Computer, Huanggang Normal University, China. His main research interests include pattern recognition, computer vision, image processing, deep learning, and fractional calculus.

作者簡介(中文翻譯)

Uzair Aslam Bhatti 於1986年出生。他於2019年在海南大學(Hainan University)獲得信息與通信工程博士學位,並在中國南京師範大學完成博士後研究,專注於利用人工智慧(AI)分析地理空間數據的Clifford代數算法。目前,他在海南大學信息與通信工程學院擔任副教授,專長領域包括AI、機器學習和影像處理。他擔任多本期刊的客座編輯,包括Frontier in Plant Science、Frontier in Environmental Science、Computer Materials and Continua、PLoS One、IEEE Access等,並審稿多篇IEEE Transactions和Elsevier期刊。

Jingbing Li 是醫生、教授、博士生導師及海南省發明協會副會長。他曾獲得海南省領軍人才、海南省著名教學教師、海南省優秀青年中堅教師及寶鋼優秀教師等榮譽稱號。他三次獲得海南省科技進步獎二等獎(其中兩次為第一完成人,一次為第二完成人)。他擁有13項國家授權發明專利,出版了5部專著,如醫學影像數字水印,並以第一作者或通訊作者身份發表了80多篇SCI/EI檢索的學術論文(包括22篇SCI檢索論文)。他主持了兩個國家自然科學基金項目,以及五個海南省重點研發項目和海南省國際科技合作項目。

Dr. Huang Mengxing 是海南大學信息學院院長。他擔任過多個職位,包括「智慧服務」人才團隊的領導、國家重點研發計劃的首席科學家、教育部科技委員會人工智慧與區塊鏈專家委員會成員、中國電子教育學會研究生教育分會執行理事及教育部計算機專業教學委員會成員等。他的主要研究領域包括大數據與智能信息處理、多源信息感知與融合、人工智慧與智能服務等。近年來,他以第一作者和通訊作者身份發表了230多篇學術論文,獲得36項國家授權的發明專利、96項軟體著作權,出版了4部專著,並翻譯了2本書。他作為第一完成人獲得海南省科技進步獎的一等獎和二等獎;並獲得兩項海南省優秀教學成果獎和優秀教師獎。他主持和承擔了30多個國家、省及部級項目,如國家重點研發計劃項目、國家科技支撐計劃及國家自然科學基金項目。

Sibghat Ullah Bazai 在巴基斯坦奎達的巴洛奇斯坦信息技術、工程與管理科學大學(BUITEMS)完成了計算機工程的本科和研究生學習。他於2020年在新西蘭奧克蘭的梅西大學獲得網絡安全的博士學位(IT)。在他的研究中,他對應用網絡安全、利用深度學習識別疾病、使用自然語言處理自動化考試、開發本地語言情感數據集及規劃智慧城市等主題感興趣。Sibghat 是多本期刊的特刊的客座編輯和審稿人,包括MDPI、Hindawi、CMC、PLoS One、Frontier等。

Muhammad Aamir 於2008年在巴基斯坦信德省的梅赫蘭工程與技術大學獲得計算機系統工程學士學位,於2014年在中國重慶大學獲得軟體工程碩士學位,並於2019年在中國成都的四川大學獲得計算機科學與技術博士學位。目前,他是中國黃岡師範大學計算機系的副教授。他的主要研究興趣包括模式識別、計算機視覺、影像處理、深度學習和分數微積分。